359 research outputs found

    Recovery of gold from Plant/dump Liquors, Gadag Gold Fields, Karnataka, India

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    The tailings disposal fronr the gold concentrators to the tailing dants containss about 70% solids and 30% water or liquor: After discharging the solids the liquor portion of pulp is reclaimed to the extent maximum 50%. Recoverv is tested throughout the year and it is,found that recovery varies seasonally, affecting the grade of the reclaimed solution. The reclaimed liquor from the tailing dams and the plant waste waters are passed through settler- tanks or thickener. The clear liquor is passed through the activa-ted carbon columns (C-I-S). The gold content of the liquor is adsorbed on to the carbon, the tail liquor is reused in theprocess. The gold loaded carbon is eluted and continuou-sly electrowon, with the help of continuous re-circulation of hot caustic cyanide solution at +93'C. The gold loaded cathodes are acid treated, smelted with fluxes to produce gold bullion. The carbon from the elution system is reused in the process after thermal regeneration

    A fermented nutraceutical beverage from quinoa: The traditional grain of Andes

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    Quinoa is a traditional grain used as a staple food by ancient people of Andean countries and South America, known for its excellent nutritional profile. This pseudo-cereal is rich in protein, vitamins, minerals and antioxidants.   However, presence of anti-nutritional factors such as, saponins, tannins, phenols and phytic acid is a serious deterrent to use quinoa in daily diet. This study focus on lactic acid fermentation to answer this riddle. Lactic acid bacteria were isolated from surface of quinoa seeds and characterized. All the isolates (QB-1, QB-2, QB-3, QB-4 and QB-5) were Gram positive, Catalase negative, acid producing and non-endospore forming. Two among the native isolates, QB-1 and QB-2 were selected based on their ability for beverage development. Isolate QB-1 reduced the phenolic compounds (from 0.94 to 0.36 mg/g of GAE) significantly. Isolate QB-2 was found to be more efficient in reduction of phytic acid (from 11.06 to 1.00 mg/g) and tannins (from 4.92 to 2.05mg/g of GAE).  A significant reduction of saponin (from 11.2 to 0.13 mg/g) was recorded by isolate QB-1 and Lactobacillus delbrueckii. The study also revealed that, curd is efficient in reducing anti-nutritional factors such as, phenolic compounds and phytic acid

    A fermented nutraceutical beverage from quinoa: The traditional grain of Andes

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    1040-1047Quinoa is a traditional grain used as staple food by ancient people of Andean countries and South America, known for its excellent nutritional profile. This pseudo-cereal is rich in protein, vitamins, minerals and antioxidants. However, presence of anti-nutritional factors such as, saponins, tannins, phenols and phytic acid is a serious deterrent to use quinoa in daily diet. This study focuses on lactic acid fermentation to answer this riddle. Lactic acid bacteria were isolated from the surface of quinoa seeds and characterized. All the isolates (QB-1, QB-2, QB-3, QB-4 and QB-5) were Gram positive, Catalase negative, acid producing and non-endospore forming. Two among the native isolates, QB-1 and QB-2 were selected based on their ability for beverage development. Isolate QB-1 reduced the phenolic compounds (from 0.94 to 0.36 mg/g of GAE) significantly. Isolate QB-2 was found to be more efficient in reduction of phytic acid (from 11.06 to 1.00 mg/g) and tannins (from 4.92 to 2.05 mg/g of GAE). A significant reduction of saponin (from 11.2 to 0.13 mg/g) was recorded by isolate QB-1 and Lactobacillus delbrueckii. The study also revealed that, fermentation with curd is also efficient in reducing antinutritional factors such as, phenolic compounds and phytic acid

    Effect of integrated nutrient management on nutrients availability and uptake by black henbane (Hyoscyamus niger L.) in Tarai region of Uttarakhand

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    Experiments were conducted to quantify the effect of integrated nutrient management on soil health and black henbane (Hyoscyamus niger L.). The treatments were, no chemical fertilizer and organic manure (control) [T1], recommended (rec.) NPK (i.e. 100:50:50 kg ha-1) [T2], 75% rec. NPK +2.5t vermicompost (VC) [T3], 50% rec. NPK + 5.0t VC (T4), 25% rec. NPK + 7.5t VC (T5), VC 10t (T6), rec. NPK + Biofertilizers (BF) [T7], 75% rec. NPK + 2.5t VC + BF (T8), 50% rec. NPK + 5.0t VC + BF (T9), 25% rec. NPK + 7.5t VC + BF (T10), 10t VC + BF (T11) and BF [Azotobacter & Phosphorus Solublizing Bacteria (PSB)]. Highest herbage yield was obtained with application of T8 during both the years. Integrated application of inorganic fertilizers and organic sources of nutrients increased the N, P, K content and their uptake. Highest available N and K content in soil was observed with T2 during 2008–09, while during 2009–10, the maximum available N content in soil was observed with T8. Highest N uptake was observed with T6, while highest P and K uptake was recorded with T8 during both the years. &nbsp

    Retrospective analysis of necropsy findings in patients of H1N1 and their correlation to clinical features

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    India reported its first case of H1N1 in July 2009 in Pune and since then, the number of reported cases and deaths exploded in India. Since very little data is available about histopathological findings in patients of H1N1 fatal cases in India, a retrospective chart analysis of necropsy findings of 15 cases of 2009 H1N1 fatal cases was performed. Common clinical features were fever, cough , and breathlessness followed by sore throat and rhinorrhea. Common lung findings were mononuclear cell infiltration, thick alveolar septae, intraalveolar hemorrhage . The other findings were congested pulmonary blood vessels, pulmonary edema, cytomegaly, fibrin accumulation and formation of eosinophilic membrane. These findings are suggestive of diffuse alveolar damage ( DAD) and DAD with hemorrhage. All patients who underwent necropsy had radiographic findings suggestive of unilobar or multilobar pneumonia. This clinical finding can be correlated pathologically in these patients as all of them had either polymorphonuclear or mononuclear infiltrate. Furthermore, necrotizing pneumonitis pattern seen on these patients is the likely cause of mortality in these patients. Although clinical ARDS pattern was noted in all these patients, it was well correlated in lung pathology in all these cases

    An RxLR effector from phytophthora infestans prevents re-localisation of two plant NAC transcription factors from the endoplasmic reticulum to the nucleus

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    The plant immune system is activated following the perception of exposed, essential and invariant microbial molecules that are recognised as non-self. A major component of plant immunity is the transcriptional induction of genes involved in a wide array of defence responses. In turn, adapted pathogens deliver effector proteins that act either inside or outside plant cells to manipulate host processes, often through their direct action on plant protein targets. To date, few effectors have been shown to directly manipulate transcriptional regulators of plant defence. Moreover, little is known generally about the modes of action of effectors from filamentous (fungal and oomycete) plant pathogens. We describe an effector, called Pi03192, from the late blight pathogen Phytophthora infestans, which interacts with a pair of host transcription factors at the endoplasmic reticulum (ER) inside plant cells. We show that these transcription factors are released from the ER to enter the nucleus, following pathogen perception, and are important in restricting disease. Pi03192 prevents the plant transcription factors from accumulating in the host nucleus, revealing a novel means of enhancing host susceptibility

    Application of Machine Learning Techniques to Parameter Selection for Flight Risk Identification

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    In recent years, the use of data mining and machine learning techniques for safety analysis, incident and accident investigation, and fault detection has gained traction among the aviation community. Flight data collected from recording devices contains a large number of heterogeneous parameters, sometimes reaching up to thousands on modern commercial aircraft. More data is being collected continuously which adds to the ever-increasing pool of data available for safety analysis. However, among the data collected, not all parameters are important from a risk and safety analysis perspective. Similarly, in order to be useful for modern analysis techniques such as machine learning, using thousands of parameters collected at a high frequency might not be computationally tractable. As such, an intelligent and repeatable methodology to select a reduced set of significant parameters is required to allow safety analysts to focus on the right parameters for risk identification. In this paper, a step-by-step methodology is proposed to down-select a reduced set of parameters that can be used for safety analysis. First, correlation analysis is conducted to remove highly correlated, duplicate, or redundant parameters from the data set. Second, a pre-processing step removes metadata and empty parameters. This step also considers requirements imposed by regulatory bodies such as the Federal Aviation Administration and subject matter experts to further trim the list of parameters. Third, a clustering algorithm is used to group similar flights and identify abnormal operations and anomalies. A retrospective analysis is conducted on the clusters to identify their characteristics and impact on flight safety. Finally, analysis of variance techniques are used to identify which parameters were significant in the formation of the clusters. Visualization dashboards were created to analyze the cluster characteristics and parameter significance. This methodology is employed on data from the approach phase of a representative single-aisle aircraft to demonstrate its application and robustness across heterogeneous data sets. It is envisioned that this methodology can be further extended to other phases of flight and aircraft

    VNLG-152R and its deuterated analogs potently inhibit/repress triple/quadruple negative breast cancer of diverse racial origins in vitro and in vivo by upregulating E3 Ligase Synoviolin 1 (SYVN1) and inducing proteasomal degradation of MNK1/2

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    Triple-negative breast cancer (TNBC) and its recently identified subtype, quadruple negative breast cancer (QNBC), collectively account for approximately 13% of reported breast cancer cases in the United States. These aggressive forms of breast cancer are associated with poor prognoses, limited treatment options, and lower overall survival rates. In previous studies, our research demonstrated that VNLG-152R exhibits inhibitory effects on TNBC cells both in vitro and in vivo and the deuterated analogs were more potent inhibitors of TNBC cells in vitro. Building upon these findings, our current study delves into the molecular mechanisms underlying this inhibitory action. Through transcriptome and proteome analyses, we discovered that VNLG-152R upregulates the expression of E3 ligase Synoviolin 1 (SYVN1), also called 3-hydroxy-3-methylglutaryl reductase degradation (HRD1) in TNBC cells. Moreover, we provide genetic and pharmacological evidence to demonstrate that SYVN1 mediates the ubiquitination and subsequent proteasomal degradation of MNK1/2, the only known kinases responsible for phosphorylating eIF4E. Phosphorylation of eIF4E being a rate-limiting step in the formation of the eIF4F translation initiation complex, the degradation of MNK1/2 by VNLG-152R and its analogs impedes dysregulated translation in TNBC cells, resulting in the inhibition of tumor growth. Importantly, our findings were validated in vivo using TNBC xenograft models derived from MDA-MB-231, MDA-MB-468, and MDA-MB-453 cell lines, representing different racial origins and genetic backgrounds. These xenograft models, which encompass TNBCs with varying androgen receptor (AR) expression levels, were effectively inhibited by oral administration of VNLG-152R and its deuterated analogs in NRG mice. Importantly, in direct comparison, our compounds are more effective than enzalutamide and docetaxel in achieving tumor growth inhibition/repression in the AR+ MDA-MD-453 xenograft model in mice. Collectively, our study sheds light on the involvement of SYVN1 E3 ligase in the VNLG-152R-induced degradation of MNK1/2 and the therapeutic potential of VNLG-152R and its more potent deuterated analogs as promising agents for the treatment of TNBC across diverse patient populations
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